Welcome to Episode 13 of the LiveStack podcast, where we dive deep into the world of “Food Animal AgriTech in the Keystone State.” In this
Welcome to Episode 12 of the LiveStack podcast, where we will discuss “Food Animal Welfare Audits and AgriTech.” In this episode, we are delighted to
Welcome to Episode 11 of the LiveStack podcast, where we discuss all things Precision Livestock Farming (PLF) and AgriTech research from the European Federation of
Welcome to Episode 10 of the LiveStack podcast, where we delve into ‘Dairy Calves and AgriTech.’ In this episode, we are delighted to be joined
Join in and listen to Episode 9 of the LiveStack podcast discussing “Digital, Data, and Durable Skills in Dairy Science.”Joining in on this discussion is
By Daniel Foy – AgriGates, USA; Jim Reynolds DVM, MPVM DACAW – AgriGates, USA. The Three Spheres of Data in Food Animal Agriculture The Three
Join in and listen to Episode 8 of the LiveStack podcast discussing “ML and AI in Food-Animal Agriculture; What’s Essential to Make it Work” Back
Join in and listen to episode 7 with Dr. Micheal Odintsov Vaintrub, Veterinarian and AgriTech COO, and Daniel Foy from AgriGates as they talk about
By Daniel Foy – AgriGates, USA; Laura Boyle Ph.D. – Teagasc, Ireland; Jim Reynolds DVM, MPVM DACAW – AgriGates, USA. Dynamic Iceberg Metrics Concept for
Join in and listen to Episode 6 with Dr. Laura Boyle, senior research officer with Teagasc – The Irish National Agriculture and Food Development Authority,
The term “Unicorn” in the context of business originated in the United States in 2013 when venture capitalist Aileen Lee coined the term in an
The Hype Cycle in food animal AgriTech at the farm level. *Data Consolidation was added on April 18th, 2023, from discussions with Rob Trice from
Read the workshop report from the 2023 Animal Agtech Innovation Summit, Written by Daniel Foy, CEO & Co-Founder of AgriGates, upon request from the Summit
Join in and listen to this episode’s discussion on Machine Learning (ML) in Food Animal Agriculture: An old tool with new applications on Farm, with
Summary The use of AI in food animal farming requires consideration of data ownership and quality, as well as a proactive approach to data management.